weiDing's repositories
DeepCrack
DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.
DIPDemo
《数字图像处理与机器视觉》书上的所有算法C++代码；在VS2013下测试，以MFC为交互界面，实现对输入图像的操作，涵盖了所有基本的图像处理算法，很值得学习！
External-Attention-pytorch
Pytorch implementation of various Attention Mechanism
hed
code for Holistically-Nested Edge Detection
learnopencv
Learn OpenCV : C++ and Python Examples
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
opencv
Open Source Computer Vision Library
opencv-machine-learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
OpenCV3-Intro-Book-Src
《OpenCV3编程入门》书本配套源码 |《Introduction to OpenCV3 Programming》Book Source Code
opencv_contrib
Repository for OpenCV's extra modules
opensse
Open Sketch Search Engine
paper-reading
深度学习经典、新论文逐段精读
pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
ScalePredictionForObjectTracking
Research on Surveillance Video Analytics
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Train_Custom_Dataset
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法
unet
unet for image segmentation